Data augmentation is a popular technique which helps improve generalization capabilities
of deep neural networks, and can be perceived as implicit regularization. It plays a pivotal …

Research in the medical imaging field using deep learning approaches has become
progressively contingent. Scientific findings reveal that supervised deep learning methods' …

These days deep learning is the fastest-growing field in the field of Machine Learning (ML)
and Deep Neural Networks (DNN). Among many of DNN structures, the Convolutional …

Fungal infection represents up to 50% of yield losses, making it necessary to apply effective
and cost efficient fungicide treatments, whose efficacy depends on infestation type, situation …

Dermoscopy image analysis (DIA) is a growing field, with works being published every
week. This makes it difficult not only to keep track of all the contributions, but also for new …

Skin cancer is one of the most threatening diseases worldwide. However, diagnosing skin
cancer correctly is challenging. Recently, deep learning algorithms have emerged to …

Dermatology is the most appropriate field to utilize pattern recognition-based automated
techniques for objective, accurate, and rapid diagnosis because diagnosis mainly relies on …

Automatic delineation of skin lesion contours from dermoscopy images is a basic step in the
process of diagnosis and treatment of skin lesions. However, it is a challenging task due to …

Synapses are often far from their cell bodies and must largely independently cope with
dysfunctional proteins resulting from synaptic activity and stress. To identify membrane …

Skin lesion classification based on deep learning models, which are data-hungry, is a
challenging issue because of the shortage of annotated images and unbalanced classes in …